Search Results for author: Niko Beerenwinkel

Found 3 papers, 2 papers with code

Practical and scalable simulations of non-Markovian stochastic processes

1 code implementation9 Dec 2022 Aurelien Pelissier, Miroslav Phan, Niko Beerenwinkel, Maria Rodriguez Martinez

While analytic solutions often cannot be derived, existing simulation frameworks can generate stochastic trajectories compatible with the dynamical laws underlying the random phenomena.

Epidemiology Sociology

High-Dimensional Inference in Bayesian Networks

1 code implementation16 Dec 2021 Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers

Inference of the marginal probability distribution is defined as the calculation of the probability of a subset of the variables and is relevant for handling missing data and hidden variables.

Benchmarking Vocal Bursts Intensity Prediction

Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG

no code implementations2 May 2021 Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data.

Graph Sampling

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